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Http Generate

Checked
spring-ai-alibaba·vlatest·backend·Apache-2.0

Generates realistic HTTP requests and responses for testing APIs or simulating web interactions.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add spring-ai-alibaba/examples --skill http-generate -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

spring-ai-alibaba

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned spring-ai-alibaba/examples at 1198f16c16.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
2 files, 728 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The http-generate skill allows AI agents to generate HTTP requests and responses. It can be used to test APIs, simulate user interactions with web services, or create sample data for development purposes. This skill provides a simple way to interact with web resources programmatically within an agent workflow.

When to use it

  • API Testing: Verify the functionality of an API endpoint by sending requests and validating responses.
  • Data Generation: Create synthetic HTTP request/response pairs for testing or demonstration purposes.
  • Web Service Simulation: Mimic a web service's behavior in a controlled environment, useful for development and debugging.
  • Automated Tasks: Automate repetitive tasks that involve interacting with web APIs.

Key capabilities

  • Generates HTTP requests
  • Handles HTTP responses
  • Simulates API interactions

Example prompts

  • "Generate an HTTP GET request to https://example.com/api/data."
  • "Create a POST request with the following JSON payload: { "name": "John Doe", "email": "[email protected]" } to https://example.com/users."
  • “Simulate an HTTP response with status code 200 and this body: <h1>Success!</h1>”

Tips & gotchas

This skill requires a basic understanding of HTTP requests and responses. The agent needs to be able to interpret the generated output, which may require further processing depending on the specific use case.